International market ranking using enhanced imprecise dual-role MAJ model

Amir Shabani*, Reza Farzipoor Saen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

One of the uses of data envelopment analysis (DEA) can be international market ranking (IMR). Selecting the best international market (IM) from a large number of possible markets with various levels of capabilities and potential is a complicated and time-consuming managerial task. In the subject of marketing research, moreover, some measures cannot be mentioned accurately. These measures have the status of imprecise data. Additionally, there are some situations that decision maker is wavered to classify the input and output status of factors. In the DEA's literature such variables are called dual-role factors. The main objective of this paper, therefore, is to develop an innovative DEA model that takes simultaneously imprecise data and dual-role factors into account for ranking IMs. A case study makes evident the application of the proposed model.

Original languageEnglish
Pages (from-to)601-625
Number of pages25
JournalInternational Journal of Business Excellence
Volume7
Issue number5
DOIs
Publication statusPublished - 2014

Keywords

  • Data envelopment analysis
  • DEA
  • Dual-role factor
  • Imprecise data
  • IMR
  • International market ranking
  • Ranking efficient units

ASJC Scopus subject areas

  • Business and International Management
  • Strategy and Management

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